| { |
| "approved_by_author": "\u231b", |
| "citation": "Sehgal, R., Markov, Y., Qin, C., et al. (2025). Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems. Nature Aging, 5, 1880\u20131896.", |
| "citations": 57, |
| "citations_date": "2026-10-02", |
| "clock_name": "systemsageinflammation", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1038/s43587-025-00958-3", |
| "journal": "Nature Aging", |
| "last_author": "Morgan Levine", |
| "model_type": "PCA + elastic net regression", |
| "n_features": 125175, |
| "notes": "Inflammation-system component of Systems Age: a whole-blood DNAm score built from inflammatory biomarkers and mortality training, returned on an age-like scale.", |
| "platform": [ |
| "Illumina 450K", |
| "Illumina EPIC" |
| ], |
| "population": "older adults", |
| "predicts": [ |
| "inflammatory-system biological age" |
| ], |
| "reference_values": true, |
| "research_only": true, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "whole blood" |
| ], |
| "training_target": [ |
| "mortality" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "version": "0.5.7", |
| "year": 2025 |
| } |
